Skip to main content

SharpenCISO

SharpenCISO is a continuous compliance and cyber risk management platform that verifies security controls against what is actually implemented across an organization's systems, not just declared. The platform automates evidence collection, supports frameworks like NIS2, ISO 27001, and DORA, and claims to cut compliance effort by 40%. It includes dedicated NIS2 and DORA assessment modules with multi-jurisdictional coverage.

Traction 7/10
Paris, France · HQ
Founded 20262300+ followers
  • Regulatory & Compliance Technology
  • Cybersecurity
  • Software Only
  • Artificial Intelligence
  • Financial Technology
Updated 6 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional cybersecurity GRC tools rely on self-reported declarations and manual evidence gathering, leaving organizations with outdated, inaccurate compliance postures between periodic audits. Security teams spend excessive time chasing screenshots and spreadsheets instead of focusing on actual risk mitigation, while evolving regulations like NIS2 and DORA demand more rigorous, continuous verification of implemented controls.

Solution

SharpenCISO is a continuous compliance and cyber risk management platform that verifies security controls against what is actually implemented across an organization's systems, not just what is declared. The platform automatically collects timestamped, audit-ready evidence from infrastructure data, enabling real-time security posture monitoring and continuous compliance tracking against frameworks such as NIS2, ISO 27001, CRA, DORA, and NIST. A dedicated NIS2 assessment module guides users through requirements based on entity type and manages national variations across subsidiaries, while a purpose-built DORA module translates dense regulatory text into trackable action plans. The platform also supports quantitative risk analysis, translating risks into financial terms for board-level decision-making, and automates multi-framework audits by pre-filling questionnaires from existing evidence and reusing answers across assessments.

Target Audience

Primary customers are security and compliance leaders, including CISOs, risk officers, and compliance managers at mid-to-large enterprises operating under regulated frameworks like NIS2, ISO 27001, and DORA, particularly organizations with multi-entity or multi-jurisdictional compliance obligations.

Features

  • Automated evidence collection pulls proof of implemented controls directly from system data, eliminating manual screenshot and spreadsheet chasing, with evidence that stays current, timestamped, and audit-ready
  • 150+ pre-defined controls verified across systems to determine what is implemented versus missing, providing accurate real-time security posture visibility
  • Dedicated NIS2 assessment module maps existing controls against directive requirements based on entity type and handles national regulatory variations across subsidiaries
  • Purpose-built DORA assessment module for financial-sector resilience, including ICT risk management and Register of Information coverage with clear action plans
  • Multi-framework audit automation that pre-fills compliance questionnaires from existing policies, procedures, and architecture schemas, reusing answers across frameworks like ISO 27001, NIST, AI Act, and CRA
  • Third-party risk management module that monitors vendor security posture throughout the relationship, not just at onboarding, covering supply chain risk and DORA requirements
  • Quantitative risk analysis translating risks into financial terms using monetary impact modeling to justify security investments to boards
  • Security-by-design workflow automation with AI-powered risk identification and human-in-the-loop validation
  • Centralized risk dashboard consolidating data from all modules for internal benchmarking and data-driven decisions
  • Role-based access control and organization management for multi-entity compliance ownership
This profile is AI-generated and may contain inaccuracies.